create_feat_classif_problem: Create a classification-like problem from a...
In pmontman/fforma: Feature-based Forecast Method Averaging
Description
Usage
Arguments
Value
View source: R/ensemble_classifier.R
Description
Create a classification-like problem from a forecasting-processed time series dataset
Usage
1
create_feat_classif_problem(dataset)
Arguments
dataset
A list with each element having a features and a optionally errors fields.
See THA_feature and process_forecasts for more information.
Value
create_feat_classif_problem returns a list with the entries:
- data
The features extracted from the series.
- errors
The errors produced by the forecasting method. If the air availabe in the dataset.
pmontman/fforma documentation built on March 16, 2020, 12:23 a.m.
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Description Usage Arguments Value
View source: R/ensemble_classifier.R
Description
Create a classification-like problem from a forecasting-processed time series dataset
Usage
1 | create_feat_classif_problem(dataset)
|
Arguments
dataset |
A list with each element having a |
Value
create_feat_classif_problem returns a list with the entries:
- data
The features extracted from the series.
- errors
The errors produced by the forecasting method. If the air availabe in the dataset.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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